Emotion Feature Selection from Physiological Signals using Tabu Search

被引：0
|
作者：
Wang, Yujing [1 ]
Mo, Jianlin [2 ]
机构：
[1] SWUFE, Tianfu Coll, Dept Informat Technol 2, Mianyang 621000, Peoples R China
[2] ABA Teachers Coll, Dept Elect Informat, Wenchuan, Peoples R China
来源：
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年
关键词：
Emotion feature Recognition; Tabu Search; Physiological Signals; Feature Selection; INTELLIGENCE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method of feature selection based on tabu search is proposed for recognizing affective states (joy, anger, sadness, pleasure). After combining with k-near neighbour classifier, the tabu search heuristic algorithm achieved good recognition performance in the affective states classification, obtained the robust feature subsets which belong to 4 physiological signals (ECG, EMG, SC, RSP). Simulation showed that it is feasible and effective to recognize emotion using tabu search algorithm.
引用
收藏
页码：3148 / 3150
页数：3
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